store = {}
store['args']={'batch_size': 64, 'scoring_batch_size': 512, 'test_batch_size': 512, 'validation_set_size': 1024, 'early_stopping_patience': 3, 'epochs': 30, 'epoch_samples': 5056, 'num_inference_samples': 20, 'available_sample_k': 40, 'num_iterations': 20, 'no_cuda': False, 'name': 'bald_40_192067', 'seed': 192067, 'log_interval': 20, 'type': 'AcquisitionFunction.bald'}
store['iterations']=[]
store['initial_samples']=[27547, 43129, 52119, 18906, 5529, 50674, 14916, 3969, 36296, 18767, 49393, 45012, 10304, 56641, 10377, 40810, 17456, 43363, 31320, 48548]
store['iterations'].append({'num_epochs': 4, 'test_metrics': {'accuracy': 0.6344, 'nll': 2.373112494659424}, 'chosen_samples': [21491, 1871, 33101, 56850, 1887, 27536, 3726, 12223, 38853, 48489, 37537, 56745, 39663, 59140, 15098, 22479, 27878, 20436, 39179, 53019, 43450, 9502, 40507, 11653, 2104, 17741, 36313, 33489, 58470, 26850, 36515, 59275, 24300, 46724, 32785, 59557, 8475, 33252, 49026, 23070], 'chosen_samples_score': ['1.0722532', '1.0727057', '1.0751113', '1.0753107', '1.0773437', '1.0783322', '1.0784223', '1.0816486', '1.0843816', '1.0980637', '1.1204662', '1.094223', '1.1702764', '1.0835071', '1.1264949', '1.1302333', '1.1450653', '1.2304723', '1.1220784', '1.1244988', '1.0890949', '1.0826124', '1.0985136', '1.1111495', '1.0881875', '1.1285421', '1.1517773', '1.0921905', '1.1018296', '1.1104118', '1.2534535', '1.1967819', '1.1357489', '1.121853', '1.1131', '1.1408066', '1.1219726', '1.1369262', '1.1461143', '1.1635985']})
store['iterations'].append({'num_epochs': 4, 'test_metrics': {'accuracy': 0.7917, 'nll': 1.0668127813339234}, 'chosen_samples': [10198, 22053, 29994, 4738, 49908, 36251, 5013, 28371, 3444, 39569, 54000, 45904, 16780, 4829, 57880, 55513, 50461, 25285, 49294, 20388, 57736, 54186, 11304, 48227, 9588, 24219, 27972, 56735, 3948, 49140, 40654, 28269, 51544, 12345, 56495, 51102, 46543, 20322, 29410, 11121], 'chosen_samples_score': ['0.8217231', '0.8223857', '0.82542443', '0.82438797', '0.8235911', '0.8259579', '0.8327362', '0.82954013', '0.8260369', '0.83354414', '0.8319512', '0.8312885', '0.83459276', '0.8349151', '0.83982414', '0.8380114', '0.8353839', '0.8424448', '0.8619846', '0.90773493', '0.8808961', '0.84539187', '0.8557227', '0.87875473', '0.86651886', '0.91560745', '0.97874457', '0.96212274', '0.86127913', '0.8773963', '0.8498487', '0.90760463', '1.0738838', '0.8892525', '0.8661436', '0.8682102', '0.8600178', '0.89094317', '0.8787104', '0.88878095']})
store['iterations'].append({'num_epochs': 5, 'test_metrics': {'accuracy': 0.8473, 'nll': 0.8984859851837158}, 'chosen_samples': [30418, 7990, 47828, 2118, 48812, 36489, 14367, 8031, 19298, 17849, 17494, 48384, 7214, 4767, 47707, 2942, 54896, 40453, 48922, 26034, 14394, 2000, 37407, 53834, 4138, 36119, 9770, 32022, 2092, 42384, 1311, 12595, 17237, 8047, 55055, 22469, 11025, 47157, 14896, 48365], 'chosen_samples_score': ['0.9462609', '0.94990826', '0.95009947', '1.0012482', '1.0248241', '0.96101403', '1.0647898', '1.0262284', '0.95172864', '0.95370656', '0.97519386', '1.0010295', '0.9524849', '0.986357', '0.99066913', '1.021636', '0.96037924', '1.0779189', '0.95858896', '0.9869828', '0.96851283', '0.9583084', '1.0135028', '0.9982544', '1.0144877', '0.974563', '0.9910376', '1.0029274', '1.0418205', '1.1377982', '0.95635897', '0.9875106', '0.9501424', '1.0031663', '0.95577383', '0.9576005', '0.9730582', '0.9557819', '0.9960962', '0.9516285']})
store['iterations'].append({'num_epochs': 6, 'test_metrics': {'accuracy': 0.896, 'nll': 0.6896181497573852}, 'chosen_samples': [40304, 20050, 18049, 15715, 16084, 43176, 40712, 17089, 43588, 56300, 8417, 41613, 17005, 7264, 52729, 11482, 53585, 11931, 32880, 16045, 47260, 19210, 13709, 29611, 52785, 39656, 42799, 32573, 4514, 49519, 6130, 28633, 55042, 10089, 19402, 56464, 49192, 57505, 31046, 49551], 'chosen_samples_score': ['0.9034456', '0.9036043', '0.9039276', '0.9060763', '0.9500314', '0.9936238', '0.9202297', '0.9146421', '1.0638477', '0.9245159', '0.9061827', '0.95893943', '0.94853926', '0.9405767', '0.90897286', '0.91966736', '0.9394718', '0.97566056', '1.0046816', '0.91044265', '0.9322164', '0.9140993', '0.9833191', '1.0940595', '0.9520706', '1.056424', '0.9267503', '0.9264599', '0.9299362', '0.9372786', '0.92456126', '0.9290378', '0.95553535', '0.91598904', '0.92671084', '0.9162406', '0.9240084', '0.91356164', '1.0941727', '0.9185265']})
store['iterations'].append({'num_epochs': 8, 'test_metrics': {'accuracy': 0.9326, 'nll': 0.5098275385856629}, 'chosen_samples': [826, 53170, 7325, 5474, 57427, 21327, 38974, 150, 29378, 18473, 41949, 22193, 40646, 22634, 28455, 19824, 12840, 52113, 39411, 37291, 46780, 3765, 31456, 28199, 40766, 52910, 49406, 49889, 30470, 58832, 53754, 49537, 46327, 33388, 5679, 7160, 41789, 1812, 45212, 28392], 'chosen_samples_score': ['0.9585418', '0.961064', '0.96633035', '0.9699908', '0.96847975', '0.9700642', '0.97057384', '0.972529', '0.9740378', '1.0392716', '0.97722304', '1.1125567', '0.9873959', '0.98508745', '1.0842772', '1.0135027', '1.0515823', '1.1085743', '1.0080125', '1.0226448', '1.074647', '1.0537354', '1.1097071', '1.055959', '0.9991405', '1.0755548', '1.0248156', '1.0297444', '1.000575', '0.98495597', '0.9745085', '1.0184343', '1.009192', '1.151299', '1.0480839', '1.012342', '1.0219178', '0.9809424', '1.032577', '0.98589694']})
store['iterations'].append({'num_epochs': 6, 'test_metrics': {'accuracy': 0.9428, 'nll': 0.44995368213653564}, 'chosen_samples': [46369, 12663, 1104, 32511, 53854, 19981, 49282, 59380, 18598, 54994, 1075, 15843, 17501, 24623, 51764, 5062, 45602, 59468, 626, 40487, 2548, 15134, 19344, 27503, 44298, 53190, 43402, 15553, 15352, 56414, 34610, 52862, 49487, 30092, 52169, 28844, 21174, 13242, 37077, 22169], 'chosen_samples_score': ['0.86474', '0.86912066', '0.8698752', '0.87090224', '0.8754005', '0.8762744', '0.8769947', '0.8825394', '0.8883729', '0.88823014', '0.89120734', '0.8841775', '0.8901131', '0.89067215', '0.8881802', '0.8917002', '0.93327916', '0.9379421', '0.93145746', '0.90101546', '0.9032898', '0.89515513', '0.8948553', '0.9256351', '0.9143538', '0.91537225', '0.9062342', '0.9062201', '0.9391626', '1.0175776', '1.03656', '0.97101486', '0.96954465', '0.95489365', '0.9671997', '0.97760826', '0.9480258', '0.9430233', '0.95531833', '1.0015366']})
store['iterations'].append({'num_epochs': 8, 'test_metrics': {'accuracy': 0.9435, 'nll': 0.4488902901649475}, 'chosen_samples': [28723, 1287, 41553, 36760, 36304, 45800, 32776, 46368, 19612, 49517, 53997, 47387, 35246, 5129, 57665, 15779, 3691, 42828, 32519, 26381, 18739, 42334, 43045, 17625, 109, 1674, 47914, 24447, 6944, 12758, 32814, 22597, 23680, 40312, 39573, 8759, 137, 42020, 5643, 11292], 'chosen_samples_score': ['0.8848154', '0.88514674', '0.89420646', '0.88892865', '0.89343023', '0.88732564', '0.8920376', '0.88952905', '0.88778275', '0.89466316', '0.9471013', '0.91149175', '0.95254135', '0.91111594', '1.0090978', '0.8958718', '0.92438793', '0.93913805', '0.9233419', '0.90585893', '1.053809', '0.9035708', '0.909005', '0.9643111', '0.8949823', '1.0889173', '0.8961464', '0.8969663', '0.92022026', '0.944265', '0.90357953', '0.90696615', '0.9329873', '0.974814', '0.9332326', '0.8998442', '0.9207485', '1.0285921', '0.9092057', '0.92987204']})
store['iterations'].append({'num_epochs': 9, 'test_metrics': {'accuracy': 0.9586, 'nll': 0.3316385201931}, 'chosen_samples': [4248, 53844, 55739, 49955, 1512, 52140, 42337, 45005, 31308, 5548, 34785, 7924, 36744, 49501, 4596, 20116, 14972, 7528, 33338, 32747, 31301, 41464, 47949, 13942, 8680, 21880, 3010, 31474, 33426, 56719, 51759, 54485, 33812, 30742, 47322, 52650, 46126, 14656, 53872, 20083], 'chosen_samples_score': ['0.91314656', '0.9145154', '0.91500676', '0.9217113', '0.9237241', '0.9256141', '0.941154', '0.93698645', '0.93975925', '0.9266234', '0.948299', '0.95262444', '0.95006126', '0.93089604', '0.9500021', '0.93958694', '0.92727244', '0.95409256', '1.0657518', '1.0763814', '0.9841523', '1.0746176', '0.98637915', '0.9760343', '1.0155272', '0.95505136', '0.9609624', '1.0189835', '1.0124465', '0.9612731', '0.9785939', '1.009872', '0.95790356', '1.070186', '0.99500763', '0.9570035', '1.0448568', '0.9635294', '1.0042571', '0.9751273']})
store['iterations'].append({'num_epochs': 12, 'test_metrics': {'accuracy': 0.9527, 'nll': 0.33711060199737547}, 'chosen_samples': [41396, 27514, 32066, 33824, 42415, 52690, 45784, 6050, 14333, 9567, 49064, 5408, 3961, 43950, 34101, 9501, 3056, 39778, 43745, 46182, 59362, 59386, 43823, 4148, 39561, 41196, 843, 4955, 34740, 424, 49541, 509, 18398, 22531, 42973, 5103, 9731, 9559, 36818, 9557], 'chosen_samples_score': ['0.90601045', '0.90648896', '0.9110954', '0.9097882', '0.9128178', '0.916096', '0.9142139', '0.92199916', '0.915015', '0.9240354', '0.9216432', '0.926748', '0.9401972', '0.9757532', '0.94982195', '0.9377397', '0.96828616', '0.94034576', '0.94951296', '0.9584648', '0.9595298', '0.9824158', '1.0067054', '1.0065373', '1.0406907', '0.9874919', '0.99172044', '0.99040055', '1.0438206', '0.99686813', '0.9876475', '0.9828424', '1.2573829', '0.99132854', '1.0689335', '1.0802735', '1.0034801', '1.0691819', '1.0544491', '1.0150964']})
store['iterations'].append({'num_epochs': 10, 'test_metrics': {'accuracy': 0.9605, 'nll': 0.3222673245429993}, 'chosen_samples': [46187, 46938, 50162, 22083, 32702, 9147, 35633, 25508, 11572, 132, 31946, 59339, 59726, 47247, 38403, 59286, 13554, 17603, 33505, 40169, 37118, 47680, 26460, 56130, 27429, 43547, 31512, 30884, 5315, 15947, 51337, 497, 46419, 19566, 55244, 16756, 35406, 49728, 44350, 11889], 'chosen_samples_score': ['0.900688', '0.90168995', '0.9038289', '0.9408231', '0.9509796', '0.91054857', '0.9039326', '0.92816114', '0.9412844', '0.9177863', '0.9481698', '0.9127921', '0.94430715', '0.9211891', '0.9296565', '0.9344372', '0.9118924', '0.9349519', '0.9133397', '0.91141903', '0.905618', '0.9201897', '0.9185265', '0.9227804', '0.9207311', '0.9522714', '1.0046828', '1.0388551', '0.9812209', '0.97041374', '0.99896693', '0.9813521', '0.9632909', '0.9625071', '1.1065261', '1.0115182', '0.96466863', '1.0706133', '1.1019824', '0.96240103']})
store['iterations'].append({'num_epochs': 12, 'test_metrics': {'accuracy': 0.9651, 'nll': 0.2889067060470581}, 'chosen_samples': [21256, 18487, 42892, 29751, 59747, 25386, 5065, 8268, 7710, 33358, 4434, 1682, 34847, 25055, 45887, 5063, 32926, 34246, 47741, 37469, 18042, 29388, 14813, 19495, 27715, 17620, 19886, 42001, 48382, 16572, 668, 17048, 10938, 20082, 20036, 4153, 32387, 32126, 47471, 24589], 'chosen_samples_score': ['0.8863369', '0.88946354', '0.8926944', '0.892303', '0.89331156', '0.89651084', '0.90466744', '0.90144724', '0.8956843', '0.89878684', '0.90514195', '0.9121078', '0.9069736', '0.91349757', '0.9278944', '0.9134068', '0.9074207', '0.9089853', '0.9209047', '0.9307015', '0.9761251', '0.95193297', '0.9851711', '0.94211686', '1.0221207', '0.9312703', '0.977889', '0.9368366', '1.1033454', '1.0135319', '0.9343814', '0.9573204', '0.99577236', '0.94565386', '0.9767846', '1.0231476', '0.9569004', '0.9743893', '0.9445091', '1.0036952']})
store['iterations'].append({'num_epochs': 15, 'test_metrics': {'accuracy': 0.9694, 'nll': 0.2776568500518799}, 'chosen_samples': [470, 28305, 262, 40457, 56664, 58874, 33150, 57486, 12196, 53746, 12321, 12950, 52095, 14311, 18514, 6289, 49545, 21150, 14325, 55438, 8228, 27292, 16043, 25910, 28525, 49493, 13031, 24462, 23154, 6428, 36508, 4529, 54556, 50714, 45056, 53873, 38922, 41453, 39526, 33364], 'chosen_samples_score': ['0.95352864', '0.9564818', '0.9583809', '0.96032953', '0.9644851', '0.96820074', '0.96807176', '0.98005575', '1.0146214', '0.99059343', '0.9904709', '1.008415', '1.0187154', '0.9689357', '0.9686847', '0.982298', '1.0136665', '1.022119', '0.96483874', '1.0015188', '0.9665239', '0.9843653', '1.0075202', '1.0206441', '0.965976', '0.9949182', '1.0237911', '1.0278659', '1.0854828', '1.1185555', '1.0770713', '1.0327339', '1.0874295', '1.1620551', '1.0744095', '1.0645416', '1.0260814', '1.0979884', '1.1593204', '1.039401']})
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store['iterations'].append({'num_epochs': 10, 'test_metrics': {'accuracy': 0.9724, 'nll': 0.24708855953216552}, 'chosen_samples': [22034, 38316, 16755, 26184, 20903, 14765, 15771, 26760, 51414, 32047, 35470, 12183, 14619, 4762, 10982, 40644, 3268, 36417, 24038, 8118, 59401, 6291, 52294, 17079, 37373, 9180, 51740, 4652, 59681, 47297, 50840, 9158, 41218, 17814, 34771, 39320, 7984, 20150, 34396, 50317], 'chosen_samples_score': ['0.7543191', '0.76058877', '0.7588458', '0.76038414', '0.759677', '0.7615835', '0.76353097', '0.7648211', '0.76569307', '0.76663053', '0.7665859', '0.7669108', '0.7862233', '0.7846314', '0.7885622', '0.784477', '0.7759198', '0.7856433', '0.7909433', '0.7975373', '0.79345834', '0.8878335', '0.8628458', '0.8065214', '0.9343404', '0.8034329', '0.79740065', '0.8167396', '0.79565555', '0.79216194', '0.9080463', '0.821037', '0.7911825', '0.84585667', '0.8470679', '0.8007859', '0.92090636', '0.8067239', '0.7977756', '0.7948979']})
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